The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
The advent of high-performance networks in conjunction with low-cost, powerful computational engines has made possible the development of a new set of technologies termed computat...
Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similar in spirit to existing grid and HPC ...
Daniel Nurmi, Richard Wolski, Chris Grzegorczyk, G...
Markets of computing resources typically consist of a cluster (or a multi-cluster) and jobs that arrive over time and request computing resources in exchange for payment. In this p...
Sergei Shudler, Lior Amar, Amnon Barak, Ahuva Mu'a...